Infrastructure & deployment
Architectural Implications of Agentic AI Workflows
Agentic workflows repeatedly cross the CPU-GPU boundary, making conventional uniform servers a poor fit for their fragmented, bursty execution.
Why it matters: Server designs that assume uniform, steady work can strand CPU and GPU capacity or harm locality. Agora’s mechanisms show how adapting resource use to agent workflows may improve utilization and throughput while preserving agent tail latency.